statistical analysis

USAGE SUMMARY

'statistical analysis' is a correct and usable phrase in written English.
You can use it to refer to any kind of investigation that uses statistical methods and/or mathematics to examine data. For example, "After completing the statistical analysis, we found a correlation between the variables."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

performed statistical analysis.

Nature

C.W. performed statistical analysis.

Nature

Statistical analysis: CM, SS.

Nature

L.H. performed statistical analysis.

Nature

Statistical analysis is undeniably valuable.

The New York Times

Nielsen led the statistical analysis.

The New Yorker

It uses statistical analysis".

Independent

T.A. performed the statistical analysis.

Nature

W.S. helped with statistical analysis.

Nature

J.B. performed the statistical analysis.

Nature

H.Z. assisted with statistical analysis.

Nature

Expert writing Tips

Best practice

When reporting results from "statistical analysis", always specify the statistical methods used (e.g., t-tests, ANOVA, regression) to ensure transparency and reproducibility.

Common error

Avoid assuming that a statistically significant correlation found through "statistical analysis" implies a causal relationship. Further investigation and experimental evidence are often needed to establish causality.

Linguistic Context

The phrase "statistical analysis" functions as a noun phrase, typically serving as the object of a verb or preposition. It refers to the process of examining data using statistical methods to draw conclusions. Ludwig examples show it used in various research contexts.

Expression frequency: Very common

Frequent in

Science

56%

News & Media

24%

Academia

15%

Less common in

Encyclopedias

2%

Formal & Business

2%

Science

1%

Ludwig's WRAP-UP

In summary, "statistical analysis" is a widely used noun phrase that describes the process of examining data using statistical methods to draw conclusions. Ludwig AI indicates it is grammatically correct and commonly used across academic, scientific, and journalistic contexts. The phrase often appears in formal registers and scientific documents. While alternatives like "data analysis" and "quantitative analysis" exist, it's crucial to specify statistical methods used to ensure transparency. A common mistake to avoid is assuming correlation implies causation. Overall, "statistical analysis" is a fundamental tool for evidence-based decision-making and research.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data analytics

Focuses more broadly on the analysis of data, which may or may not involve formal statistical methods.

quantitative analysis

Emphasizes the use of numerical data and mathematical models, but is more generic.

statistical modeling

Focuses on creating models to represent and understand data, often involving complex equations.

data mining

Emphasizes the discovery of patterns and insights from large datasets, often using automated techniques.

regression analysis

Specifically refers to a method to model the relationship between a dependent variable and one or more independent variables.

inferential statistics

Focuses on making inferences and generalizations about a population based on a sample.

data interpretation

Involves explaining the meaning of data, which may or may not include statistical procedures.

descriptive statistics

Summarizes and describes the main features of a dataset, without making inferences.

econometrics

Applies statistical methods to economic data, making it a specific application of statistical analysis.

hypothesis testing

A specific procedure used to validate or reject a hypothesis about a population.

FAQs

How is "statistical analysis" used in research?

"Statistical analysis" is used to examine data, identify patterns, and draw conclusions in research. Methods like t-tests, ANOVA, and regression analysis are commonly employed to test hypotheses and determine the significance of findings.

What are some common software tools used for "statistical analysis"?

Popular software tools for "statistical analysis" include SPSS, R, SAS, and Python with libraries like SciPy and statsmodels. Each offers different capabilities for data manipulation, statistical modeling, and visualization.

Which is the difference between "data analysis" and "statistical analysis"?

"Statistical analysis" is a subset of "data analysis". While "data analysis" is a broader term that encompasses various methods for examining data, "statistical analysis" specifically refers to the application of statistical methods and models to gain insights.

What does it mean to perform "statistical analysis"?

Performing "statistical analysis" involves using statistical techniques to process and interpret data. This may include summarizing data, identifying relationships between variables, testing hypotheses, and making predictions.